class_docstr: Identity "synth" returning input samples with channel dimension removed.
docstr: Convert network output tensors into a dictionary of synthesizer controls.
  
  Args:
    samples: 3-D Tensor of "controls" (really just samples), of shape
      [batch, time, 1].
  
  Returns:
    Dictionary of tensors of synthesizer controls.
docstr_tok: ["Convert","network","output","tensors","into","a","dictionary","of","synthesizer","controls",".","Args",":","samples",":","3-D","Tensor","of","``","controls","''","(","really","just","samples",")",",","of","shape","[","batch",",","time",",","1","]",".","Returns",":","Dictionary","of","tensors","of","synthesizer","controls","."]
code: def get_controls(self, samples):
      """Convert network output tensors into a dictionary of synthesizer controls.
  
      Args:
        samples: 3-D Tensor of "controls" (really just samples), of shape
          [batch, time, 1].
  
      Returns:
        Dictionary of tensors of synthesizer controls.
      """
      return {"samples": samples}
  
imports: from ddsp import core
  from ddsp import processors
  import gin
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling the TensorToAudio obj's underlying member method code with example usage: obj.get_controls(samples) and returns: dict